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Joined 2 years ago
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Cake day: June 17th, 2023

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  • we’re not in the slower than walking era, we’re in the ford model t era, i’m reading someone call the ford model t magic beans (eg. a scam) while millions of people are driving one every day and simultaneously worried it’s going to ruin transportation all over the north america

    “It took years of hard work for us to steal beans from farmers, apply our unique brand of magic, and seek investment from our nation’s finest rubes and oafs,” a Beanco spokesman said. “Now DeepBean wants to steal our magic beans, rebrand the magic, and get money from their own buffoons and clods? It’s just not right.”

    again, these are contradictory statements, it cannot be both a scam that has no value (eg. magic beans) and going to take all our jobs


  • You can absolutely leave and fund a “good” company, good luck getting anywhere.

    If the product has value then people will buy it*

    Humans have always created jobs, we love em, can’t get enough of em, in a capitalist system if people want to buy human made goods and services and those systems are profitable then there will be jobs for those people

    This isn’t a communist dictatorship where you will be forced to buy government sponsored AI produce and no other choice is given to you

    *I assume the products would have little logos on them like “non-gmo, organic, human made and farmed fruits!” etc


  • But cars have always had value, we’re talking under an article that calls AI “magic beans”

    How could magic beans which produce garbage enslave humanity under capitalism? Would you argue that cars which replaced horses as the primary mode of transport in a few years be called this?

    You can argue that AI does some things badly, it’s still very very early on and the progress people are making is insane, like nothing I’ve seen before, but you can’t argue it is worthless and a giant threat to us at the same time, this is contradictory









  • Think might be this:

    What is distillation?

    Distillation is a means of extracting understanding from another model; you can send inputs to the teacher model and record the outputs, and use that to train the student model. This is how you get models like GPT-4 Turbo from GPT-4. Distillation is easier for a company to do on its own models, because they have full access, but you can still do distillation in a somewhat more unwieldy way via API, or even, if you get creative, via chat clients.

    Distillation obviously violates the terms of service of various models, but the only way to stop it is to actually cut off access, via IP banning, rate limiting, etc. It’s assumed to be widespread in terms of model training, and is why there are an ever-increasing number of models converging on GPT-4o quality. This doesn’t mean that we know for a fact that DeepSeek distilled 4o or Claude, but frankly, it would be odd if they didn’t.

    https://stratechery.com/2025/deepseek-faq/



  • ikt@aussie.zonetoProgrammer Humor@programming.devVersatility wins
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    4 days ago

    Using mistral to calculate this but looks close enough

    1921 + 1673 + 242 + 85 + 84 + 84 + 83 + 82 + 81 + 80 + 79 + 77 + 77 + 75 + 74 + 73 + 72 + 71 + 70 + 69 + 68 + 68 + 67 + 66 + 65 + 64 + 63 + 62 + 61 + 60 + 59 + 58 + 57 + 56 + 55 + 54 + 53 + 52 + 52 + 51 + 50 + 48 + 48 + 47 + 46 + 45 + 44 + 43 + 41 + 21 + 18 = 7264ms

    So, the total sum of all the time values is 7264 milliseconds, or 7.264 seconds

    Removing the snapd services: 7264ms - 3836ms = 3428ms


  • ikt@aussie.zonetoProgrammer Humor@programming.devVersatility wins
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    4 days ago

    Not really noticed it tbh:

    1.951s snapd.seeded.service

    1.673s snapd.service

    Seems to be a lot longer than the mounts themselves but even then pretty minimal impact:

    $ systemd-analyze blame | grep snap | grep mount
       86ms snap-bare-5.mount
       85ms snap-blanket-49.mount
       84ms snap-btop-813.mount
       83ms snap-btop-814.mount
       82ms snap-chromium-3010.mount
       82ms snap-chromium-3025.mount
       80ms snap-core18-2829.mount
       79ms snap-core18-2846.mount
       78ms snap-core20-2379.mount
       77ms snap-core20-2434.mount
       76ms snap-core22-1663.mount
       76ms snap-core22-1722.mount
       75ms snap-core24-609.mount
       74ms snap-core24-716.mount
       73ms snap-cups-1067.mount
       72ms snap-firefox-5600.mount
       71ms snap-firefox-5647.mount
       70ms snap-firmware\x2dupdater-127.mount
       69ms snap-firmware\x2dupdater-147.mount
       68ms snap-gnome\x2d3\x2d28\x2d1804-198.mount
       67ms snap-gnome\x2d3\x2d38\x2d2004-140.mount
       66ms snap-gnome\x2d3\x2d38\x2d2004-143.mount
       65ms snap-gnome\x2d42\x2d2204-172.mount
       64ms snap-gnome\x2d42\x2d2204-176.mount
       63ms snap-gnome\x2d46\x2d2404-66.mount
       62ms snap-gnome\x2d46\x2d2404-77.mount
       61ms snap-gtk\x2dcommon\x2dthemes-1534.mount
       60ms snap-gtk\x2dcommon\x2dthemes-1535.mount
       59ms snap-libreoffice-330.mount
       58ms snap-libreoffice-334.mount
       57ms snap-mesa\x2d2404-143.mount
       56ms snap-mesa\x2d2404-44.mount
       55ms snap-nvtop-171.mount
       54ms snap-pinta-33.mount
       53ms snap-pinta-37.mount
       52ms snap-snap\x2dstore-1244.mount
       51ms snap-snap\x2dstore-1248.mount
       50ms snap-snapd-23258.mount
       49ms snap-snapd-23545.mount
       48ms snap-snapd\x2ddesktop\x2dintegration-247.mount
       47ms snap-snapd\x2ddesktop\x2dintegration-253.mount
       46ms snap-surfshark-51.mount
       44ms snap-telegram\x2ddesktop-6489.mount
       43ms snap-transmission-100.mount
       42ms snap-youtube\x2ddl-4630.mount
       41ms snap-youtube\x2ddl-4806.mount
       40ms var-snap-firefox-common-host\x2dhunspell.mount
       24ms snap-telegram\x2ddesktop-6495.mount